Emil Uffelmann
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
- Genomic variations and chromosomal abnormalities 1
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- Epigenetics and DNA Methylation 2
- Co-authors
- Daniëlle Posthuma (5 shared papers)Qin Qin Huang (1 shared paper)Yukinori Okada (1 shared paper)Tuuli Lappalainen (1 shared paper)Jantina de Vries (1 shared paper)Hilary C. Martin (1 shared paper)Alicia R. Martin (1 shared paper)Nchangwi Syntia Munung (1 shared paper)
- Journals
- Nature Communications (2 papers)Biological Psychiatry (1 paper)European Neuropsychopharmacology (1 paper)Nature Reviews Methods Primers (1 paper)Neurobiology of Disease (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Emil Uffelmann
4 papers receiving 924 citations
Emil Uffelmann's Hit Papers
Peers
Comparison fields: 5 of 117
- Genetics 406
- Biological Psychiatry 11
- Molecular Biology 277
- Horticulture 4
- Plant Science 124
Countries citing papers authored by Emil Uffelmann
This map shows the geographic impact of Emil Uffelmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emil Uffelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emil Uffelmann more than expected).
Fields of papers citing papers by Emil Uffelmann
This network shows the impact of papers produced by Emil Uffelmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emil Uffelmann. The network helps show where Emil Uffelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Emil Uffelmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide association studies Hit paper breakdown → | 2021 | 884 |
| 2 | 2020 | 41 | |
| 3 | 2023 | 14 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 |
About Emil Uffelmann
Emil Uffelmann is a scholar working on Genetics, Molecular Biology, General Social Sciences, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 940 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Epigenetics and DNA Methylation (2 papers), Genomic variations and chromosomal abnormalities (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Genetics (406 citations), Biological Psychiatry (11 citations), Molecular Biology (277 citations), Horticulture (4 citations) and Plant Science (124 citations). Emil Uffelmann has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Daniëlle Posthuma, Qin Qin Huang, Yukinori Okada, Tuuli Lappalainen, Jantina de Vries, Hilary C. Martin, Alicia R. Martin, Nchangwi Syntia Munung, Piotr Jahołkowski and Anders M. Dale. Their work appears in journals such as Nature Communications, Biological Psychiatry, European Neuropsychopharmacology, Nature Reviews Methods Primers and Neurobiology of Disease.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.